AI Systems Engineer (principal or Sr. Principal Level)

Northrop Grumman Northrop Grumman · Aerospace · El Segundo, CA +1 · Systems/Architecture/Test

AI Systems Engineer at Northrop Grumman focused on developing, training, and validating AI/ML models for operational analysis, data stream analysis, data compression, and real-time decision support within multi-domain simulation environments. The role involves designing and implementing MLOps pipelines and leveraging HPC/GPU acceleration for large datasets. Requires experience with coding in Python/MATLAB with AI/ML libraries and data science fundamentals.

What you'd actually do

  1. Develop, train, and validate AI/ML models (e.g., supervised, unsupervised, reinforcement-learning, Bayesian) that:
  2. Design and implement MLOps pipelines (e.g., MLflow, Kubeflow, DVC) that integrate training, validation, versioning, and deployment into existing simulation and analysis toolchains.
  3. Leverage high-performance computing (HPC) and GPU acceleration (CUDA, cuDNN, ROCm) to scale model training and inference for massive data sets.
  4. Model operational environments and conduct trade‑studies via computer simulation.
  5. Perform operational and effectiveness analysis to quantify capability gaps.

Skills

Required

  • Bachelors Degree in a STEM field
  • 5 years of relevant military / professional experience (Principal) OR 8 years (Sr. Principal)
  • Coding in MATLAB or Python
  • Experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, and SciPy
  • Experience in at least one of the following domains: Research, analysis, and assessment threats to U.S. military operations; Vehicle performance analysis; Navigation / Position Navigation & Timing (PNT); Survivability, lethality, vulnerability, engagement, or mission-level analysis; Electronic Attack (EA), Electronic Protection (EP), Electronic Countermeasures; Red or blue CONOPS and TTPs
  • Data-science fundamentals experience: data preprocessing, feature engineering, statistical analysis, and model evaluation.
  • Active DoD Secret clearance
  • Ability to obtain and maintain Top Secret Clearance (TS)
  • Ability to obtain and maintain initial and upgraded Special Access Program (SAP) access

Nice to have

  • Master's Degree in a STEM field
  • PhD in a STEM field
  • Current applicable SAP.
  • Active DoD TS with SCI.
  • Strong communication, interpersonal, and leadership skills, including project/analysis-lead experience.
  • Physics-based modeling and simulation using object-oriented programming (C++, C#, Java, or Python).
  • Demonstrated ability to work in a rapid-prototyping AI/ML environment.
  • Experience with system-of-systems modeling tools (AFSIM, Suppressor, Brawler) and associated integration of AI/ML components.
  • Familiarity with AGILE, MBSE, and system architecture frameworks; ability to embed data-centric AI/ML deliverables into model-based development cycles.
  • Operational military background or experience providing insight into realistic mission constraints.
  • Proficiency with version-control systems and collaborative workflow

What the JD emphasized

  • Active DoD Secret clearance
  • Ability to obtain and maintain Top Secret Clearance (TS)
  • Ability to obtain and maintain initial and upgraded Special Access Program (SAP) access

Other signals

  • Develop, train, and validate AI/ML models
  • Design and implement MLOps pipelines
  • Leverage high-performance computing (HPC) and GPU acceleration